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Müller, B. ; Hoeschen, C. ; Grüner, F.* ; Arkadiev, V.A.* ; Johnson, T.R.C.*

Molecular imaging based on X-ray fluorescent high-Z tracers.

Phys. Med. Biol. 58, 8063-8076 (2013)
Verlagsversion Volltext DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We propose a novel x-ray fluorescence imaging setup for the in vivo detection of high-Z tracer distributions. The main novel aspect is the use of an analyzer-based, energy-resolved detection method together with a radial, scatter reducing collimator. The aim of this work is to show the feasibility of this method by measuring the Bragg reflected K-fluorescence signal of an iodine solution sample in a proof of principle experiment and to estimate the potential of the complete imaging setup using a Monte Carlo simulation, including a quantification of the minimal detectable tracer concentration for in vivo imaging. The proof of principle experiment shows that even for a small detector area of approximately 7 mm(2), the collimated and Bragg reflected K-fluorescence signal of a sample containing an iodine solution with a concentration of 50 mu g ml(-1) can be detected. The Monte Carlo simulation also shows that the proposed x-ray fluorescence imaging setup has the potential to image distributions of high-Z tracers in vivo at a radiation dose of a few mGy and at tracer concentrations down to 1 mu g ml(-1) for iodine in small animals.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Computed-tomography Xfct ; Nanoparticle-loaded Objects ; Gold Nanoparticles ; Contrast Agent ; Bone Removal ; Ct ; Angiography ; Feasibility ; Cancer
ISSN (print) / ISBN 0031-9155
e-ISSN 1361-6560
Zeitschrift Physics in Medicine and Biology
Quellenangaben Band: 58, Heft: 22, Seiten: 8063-8076 Artikelnummer: , Supplement: ,
Verlag Institute of Physics Publishing (IOP)
Verlagsort Bristol
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Medical Radiation Physics and Diagnostics (AMSD)